Senior Computer Vision Engineer

🕒 May 26

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $300k / year

⏰ Full Time

🟠 Senior

👁️ Computer Vision Engineer

👻 Ghost score 43%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trace

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

🏪 Marketplace

☁️ SaaS

Artificial Intelligence • Marketplace • SaaS

Trace is a data marketplace and infrastructure company that captures and prepares real-world data from humans doing physical work to create training datasets for robotics, embodied AI, and other physical-world AI systems. The company builds the supply network, operational infrastructure, and data workflows to capture, transform, and deliver high-quality, multi-sensor datasets and a marketplace that helps customers capture better data, iterate faster, and scale physical AI solutions.

📋 Description

• Own camera and multi-sensor calibration across our capture rigs, including intrinsics, extrinsics, and time synchronization • Build, evaluate, and improve SLAM, VIO, and mapping pipelines that recover aligned 6-DoF trajectories from real-world captures • Train and/or fine-tune models for pose estimation and semantic understanding of multi-modal data • Diagnose and fix the failures that actually show up in the field – drift, calibration drift, sensor misalignment, degraded tracking, weak reconstructions, noisy data • Define the ground-truth and benchmarking methodology we use to know whether the spatial layer is actually getting better • Decide where we need custom perception work versus where off-the-shelf components are good enough • Work closely with the rest of engineering and with Trace Labs (our applied research arm) to feed reliable spatial outputs into downstream annotation, evaluation, and product workflows

🎯 Requirements

• Strong experience in at least one of: SLAM, visual odometry, VIO, mapping, or localization • Hands-on work with camera calibration, sensor fusion, multi-sensor alignment, or state estimation • A track record of shipping perception systems on real hardware, in real-world environments – robotics, autonomy, AR/VR, drones, or other embodied / sensor-heavy systems • Comfort reasoning across software, sensors, calibration, and data quality, not just models in isolation • Pragmatism about when to use off-the-shelf components, when to build custom, and when to push a problem back to the sensor or capture side • High ownership, good judgment, and productive, thoughtful communication • Emotional maturity and a collaborative, grounded working style

🏖️ Benefits

• Offers Equity